Evidence map›Paper›PMID 28248747›Full record

ArticleThe Journal of cardiovascular nursing

Intention to Use mHealth in Older Adults With Heart Failure.

Maan Isabella Cajita, Nancy A Hodgson, Chakra Budhathoki, Hae-Ra Han

Abstract read
In one paragraph

Article in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 8 pooled it
22.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 8 syntheses or guidelines pooled it, 154 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 2 countries.

Maan Isabella CajitaMaan Isabella Cajita, BSN, RN-BC PhD Candidate, School of Nursing, Johns Hopkins University, Baltimore, Maryland. Nancy A. Hodgson, PhD, RN, FAAN Associate Professor, School of Nursing, University of Pennsylvania, Philadelphia. Chakra Budhathoki, PhD Assistant Professor, School of Nursing, Johns Hopkins University, Baltimore, Maryland. Hae-Ra Han, PhD, RN, FAAN Professor and Co-Director, Center for Cardiovascular and Chronic Care, School of Nursing, Johns Hopkins University, Baltimore, Maryland.
Nancy A Hodgson
Chakra Budhathoki
Hae-Ra Han
Apple (Israel) · IL

Funding

mHealth use in older people with heart failureF31NR015943 · NINR · JOHNS HOPKINS UNIVERSITY · PI CAJITA, MAAN ISABELLA · 2015 to 2016
$81k
NINR NIH HHS F31 NR015943
6 · The paper itself

Abstract

backgroundmHealth, or the use of mobile technology in healthcare, is becoming increasingly common. In heart failure (HF), mHealth has been associated with improved self-management and quality of life. However, it is known that older adults continue to lag behind their younger counterparts when it comes to mobile technology adoption.

objectiveThe primary aim of this study was to examine factors that influence intention to use mHealth among older adults with HF.

methodsAn adapted Technology Acceptance Model was used to guide this cross-sectional, correlational study. Convenience sampling was used to identify participants from a large university hospital and online.

resultsA total of 129 older adults with HF participated in the study. Social influence (β = 0.17, P = .010), perceived ease of use (β = 0.16, P < .001), and perceived usefulness (β = 0.33, P < .001) were significantly associated with intention to use mHealth even after controlling for potential confounders (age, gender, race, education, income, and smartphone use). Perceived financial cost and eHealth literacy were not significantly associated with intention to use mHealth.

conclusionsResearchers should consider using the participatory approach in developing their interventions to ensure that their mHealth-based interventions will not only address the patient's HF self-management needs but also be easy enough to use even for those who are less technology savvy.

Indexed as

IntentionPatient Acceptance of Health CareSelf CareTelemedicineAgedAged, 80 and overAge FactorsCross-Sectional StudiesFemaleHeart FailureHumansMaleSmartphoneSurveys and Questionnaires

Identifiers

PMID28248747
PMCPMC5573659
OpenAlexW2592031909

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.